Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock markets

We study the volatility connectedness of stock market prices over various time horizons. We adopt a novel combination of copula and the asymmetric GARCH function (EGARCH) to fit this type of joint distribution consisting of the marginal distribution and the varying rendered time. The most obvious fi...

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Main Authors: Huthaifa Alqaralleh, Diyama Awadallah, Noor Al-Ma'aitah
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Borsa Istanbul Review
Online Access:http://www.sciencedirect.com/science/article/pii/S2214845019300419
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author Huthaifa Alqaralleh
Diyama Awadallah
Noor Al-Ma'aitah
author_facet Huthaifa Alqaralleh
Diyama Awadallah
Noor Al-Ma'aitah
author_sort Huthaifa Alqaralleh
collection DOAJ
description We study the volatility connectedness of stock market prices over various time horizons. We adopt a novel combination of copula and the asymmetric GARCH function (EGARCH) to fit this type of joint distribution consisting of the marginal distribution and the varying rendered time. The most obvious finding to emerge from this study is that the dynamic connectedness of asymmetries in the chosen sample can well be modelled using a combination approach, such as the DCC Copula-GARCH model. Moreover, past-return volatility has a positive impact on current versatility with varying intensity. Keywords: Financial connectedness, Copula-EGARCH, Dynamic asymmetric spillover, JEL classification: G14, G15, G40, C58
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spelling doaj.art-5bf4f79a9f26434bb99465bde12440b42022-12-22T02:03:08ZengElsevierBorsa Istanbul Review2214-84502019-12-01194323330Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock marketsHuthaifa Alqaralleh0Diyama Awadallah1Noor Al-Ma'aitah2Department of Economics, Business & Finance, Mutah University, Karak, Jordan; Corresponding author.Economics and Finance Department, Brunel University London, UKDepartment of Business Administration, Mutah University, Karak, JordanWe study the volatility connectedness of stock market prices over various time horizons. We adopt a novel combination of copula and the asymmetric GARCH function (EGARCH) to fit this type of joint distribution consisting of the marginal distribution and the varying rendered time. The most obvious finding to emerge from this study is that the dynamic connectedness of asymmetries in the chosen sample can well be modelled using a combination approach, such as the DCC Copula-GARCH model. Moreover, past-return volatility has a positive impact on current versatility with varying intensity. Keywords: Financial connectedness, Copula-EGARCH, Dynamic asymmetric spillover, JEL classification: G14, G15, G40, C58http://www.sciencedirect.com/science/article/pii/S2214845019300419
spellingShingle Huthaifa Alqaralleh
Diyama Awadallah
Noor Al-Ma'aitah
Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock markets
Borsa Istanbul Review
title Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock markets
title_full Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock markets
title_fullStr Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock markets
title_full_unstemmed Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock markets
title_short Dynamic asymmetric financial connectedness under tail dependence and rendered time variance: Selected evidence from emerging MENA stock markets
title_sort dynamic asymmetric financial connectedness under tail dependence and rendered time variance selected evidence from emerging mena stock markets
url http://www.sciencedirect.com/science/article/pii/S2214845019300419
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AT diyamaawadallah dynamicasymmetricfinancialconnectednessundertaildependenceandrenderedtimevarianceselectedevidencefromemergingmenastockmarkets
AT nooralmaaitah dynamicasymmetricfinancialconnectednessundertaildependenceandrenderedtimevarianceselectedevidencefromemergingmenastockmarkets